| 用人工智能神经网络方法提高宇宙线事例分析的效率 |
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| 引用本文： | 黄伍群,李世兴,王海印,胡北来,姚国政,李学潜.用人工智能神经网络方法提高宇宙线事例分析的效率[J].南开大学学报,1999,32(1):85-88,92. |
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| 作者姓名： | 黄伍群 李世兴 王海印 胡北来 姚国政 李学潜 |
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| 作者单位： | [1]南开大学物理系 [2]山西省科学技术委员会 |
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| 摘 要： | 论述了人工智能神经网络方法在分析宇宙线数据中的应用。用蒙特卡洛方法随机产生１４个宇宙线事例，并输入到我们的程序中，其中１２个做训练样品，两个做最终检验。结果显示，事例认证百分之百正确。虽然本文中用的机制很简单，但结果非常满意。
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| 关 键 词： | 人工智能 神经网络 宇宙线分析效率 |
IMPROVEMENT OF DATA ANALYSIS EFFICIENCY FOR COSMIC RAY EVENTS IN TERMS OF THE ARTIFICIAL INTELLIGENCE NEURAL NETWORK |
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| Huang Wuqun,Li Shixing,Wang Haiyin,Hu Beilai,Yao Guozheng,Li Xueqian.IMPROVEMENT OF DATA ANALYSIS EFFICIENCY FOR COSMIC RAY EVENTS IN TERMS OF THE ARTIFICIAL INTELLIGENCE NEURAL NETWORK[J].Acta Scientiarum Naturalium University Nankaiensis,1999,32(1):85-88,92. |
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| Authors: | Huang Wuqun Li Shixing Wang Haiyin Hu Beilai Yao Guozheng Li Xueqian |
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| Abstract: | In this work, we discuss possible application of the artificial intelligence neural network method for analyzing data of cosmic ray events. With the Monte-Carlo method, 14 cosmic ray events are randomly generated and input into our program for training and detection. The result indicates that the event identification is 100% correct. Even though the mechanism employed in this work is much simplified, results are quite satisfactory. |
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| Keywords: | artificial intelligence neural network efficiency for data analysis of cosmic ray events |
| 本文献已被 CNKI 维普 等数据库收录！ |
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